Crop coefficient (K c )-based estimation of crop water consumption is one of the most commonly
used methods for irrigation management. Spectral modeling of K c is possible due to the …

Land surface temperature (LST) is one of the most important variables measured by satellite
remote sensing. Public domain data are available from the newly operational Landsat-8 …

Most crop models were developed and tested in homogeneous field conditions. However,
these crop models are increasingly applied beyond the field scale for larger regions. …

Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …

Recent advances in remote sensing and machine learning show potential for improving
irrigation use efficiency. In this study, two independent methods to determine the irrigation dose …

Over the last few decades, dramatic land-use changes have occurred throughout Israel.
Previously-grazed areas have been afforested, converted to irrigated or rain-fed agriculture, …

In the face of rapid global change it is imperative to preserve geodiversity for the overall
conservation of biodiversity. Geodiversity is important for understanding complex …

The dynamics of Leaf Area Index (LAI) from space is key to identify crop types and their
phenology over large areas, and to characterize spatial variations within growers’ fields. However…

Waste sorting is key to the process of waste recycling. Exact identification of plastic resin
and wood products using Near Infrared (NIR, 1–1.7 µm) sensing is currently in use. Yet, dark …

Public domain synthetic-aperture radar (SAR) imagery, particularly from Sentinel-1, has
widened the scope of day and night vegetation monitoring, even when cloud cover limits optical …